Abstract
Road network control is challenging but critical in enhancing urban traffic. This paper proposes a management method for a road network with non-signalized intersections in the connected-vehicle environment, which coordinates connected and automated vehicles' movements to make the non-signalized intersections conflict-free and efficient. Firstly, the proposed method projects vehicles in road networks into virtual platoons and builds the road-network-wide conflict-free geometric topology considering the vehicles' conflicting relationships, which describes the geometry car-following relationship in virtual platoons. Then, a distributed linear controller is designed considering vehicle dynamics and communication topology to organize vehicles' movements with the desired geometric topology. Finally, simulations are conducted to verify the proposed method with different traffic demands. Simulation results show the proposed method can significantly improve traffic efficiency, as well as traffic safety.
Highlights
Urban traffic is becoming more oppressive with the increase in car ownership, which causes terrible traffic jams and low transportation efficiency
When the vehicle is in the approaching zone of the road segment, it follows the geometric topology of a one-dimensional vehicle platoon
We extended the geometric configuration of the original single-point virtual platoon to the case of road networks
Summary
Urban traffic is becoming more oppressive with the increase in car ownership, which causes terrible traffic jams and low transportation efficiency. With the automation and information of connected and automated vehicles (CAVs), the conflicting traffic movements at intersections may be separated by space, but not by time, i.e., different signal phases. Based on the isolated non-signalized intersection management, Zhang et al [27] developed a model for two adjacent intersections, which provided the possibility of coordinating online a continuous flow of CAVs crossing the intersections. The focus of this paper is to establish a microscopic traffic model with the conflict-free geometry topology, the communication topology, and the control algorithm as they are implemented at individual vehicles It can achieve safety and efficiency in controlling traffic flow by controlling independent vehicles. We propose a distributed control method framework of CAVs for non-signalized intersection network management.
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